What you'll learn:
- Using Real World PostgreSQL Database Airlines Database.
- Learn coding in Python by examples.
- How to Use Python & SQL to Analyze and visualize Data.
- Use Python to visualize Postgres Data Output and get your Conclusion about Data.
- Use Python bs4 & Pandas to Scrape a webpage, Analyze and visualize The Scraped Data.
- Use SQL to perform advanced techniques to retrieve data from databases.
- Use Python with SQL Postgres database.
- Use Python to load Postgres Data Output file.
- Learn Python & SQL by doing through Python Projects.
- Descriptive & Inferential Stats.
- Hypothesis Testing.
- Building ML models with Scikit-learn.
- Recommender Systems with NMF.
- Time Series Forecasting Projects.
- Using ChatGPT/OpenAI to Automate Analytics Tasks.
- Portfolio Building with Kaggle Projects.
- Resume Tips & Job Interview Practice.
- Using ChatGPT to Write SQL Queries, Reports, and Summaries.
Join the Data Analyst Bootcamp 2025 and embark on a transformative journey towards becoming a proficient data analyst. This comprehensive Udemy course equips you with the essential skills needed to excel in the field of data analysis. Learn Python programming, SQL querying, data analysis techniques, and more, all while engaging in practical examples, challenges, and real-world projects.
What You'll Learn:
- Python for Data Analysis:
Python Basics, Control Flow, Functions & OOP
Python Challenges to boost coding skills
Python Projects: Chat Bots, File Manager, Data Extraction & More
- SQL for Data Analytics:
SQL Basics to Advanced: Joins, Aggregations, Window Functions.
Real Project.
SQL for Data Cleaning & Query Optimization.
- Data Wrangling & Preparation:
Cleaning Messy Datasets
Dealing with Missing Values, Outliers, Duplicates
Exploratory Data Analysis (EDA) using Pandas
- Data Visualization:
Visualizing trends, correlations, and KPIs
Plotting using Matplotlib and Seaborn
Creating insights for stakeholders
- Statistics for Data Science:
Descriptive & Inferential Stats
Hypothesis Testing
Probability Distributions & Confidence Intervals
- Machine Learning:
Building ML models with Scikit-learn
Recommender Systems with NMF
Time Series Forecasting Projects
- Real-World Projects:
Data Cleaning & Visualization of Scraped Data
SQL Projects: E-commerce, HR, and Sales
Using ChatGPT/OpenAI to Automate Analytics Tasks
Time Series Forecasting with Python
AI-Powered Dashboards
- Career Preparation:
Portfolio Building with Projects
Resume Tips & Job Interview Practice
Using ChatGPT to Write SQL Queries, Reports, and Summaries
Course Structure (What You Get):
This Bootcamp includes over 35+ sections, organized in a logical, beginner-friendly flow:
Python Programming Introduction.
Hands-On Python Projects.
Numpy & Pandas Deep Dive.
SQL for Beginners to Advanced.
SQL Aggregations, Joins & Functions.
Intermediate SQL Projects.
Data Preparation & Cleaning.
EDA & Visualization.
Statistics.
Machine Learning for Analysts.
AI Tools for Analysts (ChatGPT + Automation).
Real-World End-to-End Projects.
Career-Focused Modules.
Each module includes:
Video lectures (short, clear, and engaging)
Assignments and quizzes
Source code and datasets
Portfolio-ready projects
Bonus resources for job search
Tools You’ll Use:
Python 3 & Jupyter Notebook
SQL (MySQL or PostgreSQL)
Pandas, Numpy, Seaborn, Matplotlib
Scikit-learn (Machine Learning)
Statsmodels (Statistics & Machine Learning)
ChatGPT & OpenAI (Automation & AI Tasks)
Data from Kaggle, Web Scraping, and CSVs
Why Python and SQL?
Python and SQL are the backbone of every successful data analyst and data scientist. This powerful combination empowers you to gather, organize, analyze, and visualize data from various sources effortlessly.
Python's simplicity and vast library ecosystem make it the go-to language for data-related tasks, while SQL enables efficient data retrieval from databases, enabling deeper analysis.
These highly sought-after skills are valued by top employers like Google, Facebook, Amazon, and more. With this course, you'll acquire job-ready data superpowers to propel your career forward.
Learn from a Top-Rated Instructor:
Gain insights from an experienced instructor with real-world expertise and industry knowledge. Benefit from their guidance as you level up your career opportunities and become a data analysis hero.
Enroll Now and Get Started:
This course caters to beginners looking to enter the field of data analysis, as well as intermediate analysts aiming to expand their Python and SQL skills. Kick-start your journey today and unlock a world of data-driven opportunities.
